Paper Review: ADHD and Technology Research -- Investigated by Neurodivergent Readers
The field of ADHD technology research is built on deficit assumptions
Building and evaluating tools for neurodivergent minds.
The field of ADHD technology research is built on deficit assumptions
When you switch tasks, your brain does not cleanly switch with you
Every single participant experienced counterproductive effects
Only 10% of sessions see a first edit within one minute of resuming
Every productivity tool on the market is designed for a brain that doesn't exist
A Raspberry Pi in northern Sweden's kitchen watches its owners' solitude, energy levels, and meal patterns — then speaks to them as Gollum after midnight.
A diesel engine starves without oxygen — your brain starves without novelty, and burnout isn't laziness, it's a high-stimulation system running on fumes.
When your brain won't let you start a task you actually want to do, it's not laziness — it's a dopamine system waiting for a signal your task can't provide.
At two AM, 73% of people with ADHD experience peak mental clarity — not a character flaw, but a neurological feature their brains were built for.
Researchers analyzed 45 studies and found generative AI can boost coding productivity by up to 55% for programmers with ADHD by automating pattern recognition, breaking down complex tasks, and reducing the mental load of switching between documentation and code.
Raghavendra Deshmukh's October 2025 CHItaly research reveals how AI-powered voice assistants can become digital body doubles for ADHD professionals, using on-device ML to detect attention shifts and offer gentle nudges instead of rigid productivity rules.